diff --git a/paddle/operators/clip_by_norm_op.cc b/paddle/operators/clip_by_norm_op.cc
index ebb7bdda558e8b951755e9e0417ddcf332c75364..d9fc532e39500fa397be80396b075e866bad9362 100644
--- a/paddle/operators/clip_by_norm_op.cc
+++ b/paddle/operators/clip_by_norm_op.cc
@@ -27,7 +27,7 @@ class ClipByNormOp : public framework::OperatorWithKernel {
                    "Input(X) of ClipByNormOp should not be null.");
     PADDLE_ENFORCE(ctx->HasOutput("Out"),
                    "Output(Out) of ClipByNormOp should not be null.");
-    auto max_norm = Attr<float>("max_norm");
+    auto max_norm = ctx->Attrs().Get<float>("max_norm");
     PADDLE_ENFORCE_GT(max_norm, 0, "max_norm should be greater than 0.");
     auto x_dims = ctx->GetInputDim("X");
     ctx->SetOutputDim("Out", x_dims);
@@ -35,7 +35,6 @@ class ClipByNormOp : public framework::OperatorWithKernel {
   }
 };
 
-template <typename AttrType>
 class ClipByNormOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
   ClipByNormOpMaker(framework::OpProto* proto,
@@ -46,7 +45,7 @@ class ClipByNormOpMaker : public framework::OpProtoAndCheckerMaker {
              "The number of dimensions must be between [1, 9].");
     AddOutput("Out",
               "(Tensor) The output of clip_by_norm op with shape as input(X)");
-    AddAttr<AttrType>("max_norm", "(float) The maximum norm value.");
+    AddAttr<float>("max_norm", "(float) The maximum norm value.");
     AddComment(R"DOC(
 ClipByNorm operator limits the L2 norm of the input 'X' within 'max_norm'. 
 If the L2 norm of 'X' is less than or equal to 'max_norm', 'Out' will be 
@@ -66,6 +65,6 @@ where norm('X') represents the L2 norm of 'X'.
 
 namespace ops = paddle::operators;
 REGISTER_OP_WITHOUT_GRADIENT(clip_by_norm, ops::ClipByNormOp,
-                             ops::ClipByNormOpMaker<float>);
+                             ops::ClipByNormOpMaker);
 REGISTER_OP_CPU_KERNEL(
     clip_by_norm, ops::ClipByNormKernel<paddle::platform::CPUPlace, float>);